The call from his mom is still vivid 20 years later. Moments this big and this devastating can define lives, and for Hong Yeo, today a Georgia Tech mechanical engineer, this call certainly did. Yeo was a 21-year-old in college studying car design when his mom called to tell him his father had died in his sleep. A heart attack claimed the life of the 49-year-old high school English teacher who had no history of heart trouble and no signs of his growing health threat. For the family, it was a crushing blow that altered each of their paths. 

“It was an uncertain time for all of us,” said Yeo. “This loss changed my focus.” 

For Yeo, thoughts and dreams of designing cars for Hyundai in Korea turned instead toward medicine. The shock of his father going from no signs of illness to gone forever developed into a quest for medical answers that might keep other families from experiencing the pain and loss his family did — or at least making it less likely to happen.  

Yeo’s own research and schooling in college pointed out a big problem when it comes to issues with sleep and how our bodies’ systems perform — data. He became determined to invent a way to give medical doctors better information that would allow them to spot a problem like his father’s before it became life-threatening. 

His answer: a type of wearable sleep data system. Now very close to being commercially available, Yeo’s device comes after years of working on the materials and electronics for an easy-to-wear, comfortable mask that can gather data about sleep over multiple days or even weeks, allowing doctors to catch sporadic heart problems or other issues. Different from some of the bulky devices with straps and cords currently available for at-home heart monitoring, it offers the bonuses of ease of use and comfort, ensuring little to no alteration to users’ bedtime routine or wear. This means researchers can collect data from sleep patterns that are as close to normal sleep as possible.  

“Most of the time now, gathering sleep data means the patient must come to a lab or hospital for sleep monitoring. Of course, it’s less comfortable than home, and the devices patients must wear make it even less so. Also, the process is expensive, so it’s rare to get multiple nights of data,” says Audrey Duarte, University of Texas human memory researcher.  

Duarte has been working with Yeo on this system for more than 10 years. She says there are so many mental and physical health outcomes tied to sleep that good, long-term data has the potential to have tremendous impact. 

“The results we’ve seen are incredibly encouraging, related to many things —from heart issues to areas I study more closely like memory and Alzheimer’s,” said Duarte. 

Yeo’s device may not have caught the arrhythmia that caused his father’s heart attack, but nights or weeks of data would have made effective medical intervention much more likely.  

Inspired by his own family’s loss, Yeo’s life’s work has become a tool of hope for others.  

Cardiologists and surgeons could soon have a new mobile augmented reality (AR) tool to improve collaboration in surgical planning.

ARCollab is an iOS AR application designed for doctors to interact with patient-specific 3D heart models in a shared environment. It is the first surgical planning tool that uses multi-user mobile AR in iOS.

The application’s collaborative feature overcomes limitations in traditional surgical modeling and planning methods. This offers patients better, personalized care from doctors who plan and collaborate with the tool.

Georgia Tech researchers partnered with Children’s Healthcare of Atlanta (CHOA) in ARCollab’s development. Pratham Mehta, a computer science major, led the group’s research.

“We have conducted two trips to CHOA for usability evaluations with cardiologists and surgeons. The overall feedback from ARCollab users has been positive,” Mehta said. 

“They all enjoyed experimenting with it and collaborating with other users. They also felt like it had the potential to be useful in surgical planning.”

ARCollab’s collaborative environment is the tool’s most novel feature. It allows surgical teams to study and plan together in a virtual workspace, regardless of location.

ARCollab supports a toolbox of features for doctors to inspect and interact with their patients' AR heart models. With a few finger gestures, users can scale and rotate, “slice” into the model, and modify a slicing plane to view omnidirectional cross-sections of the heart.

Developing ARCollab on iOS works twofold. This streamlines deployment and accessibility by making it available on the iOS App Store and Apple devices. Building ARCollab on Apple’s peer-to-peer network framework ensures the functionality of the AR components. It also lessens the learning curve, especially for experienced AR users.

ARCollab overcomes traditional surgical planning practices of using physical heart models. Producing physical models is time-consuming, resource-intensive, and irreversible compared to digital models. It is also difficult for surgical teams to plan together since they are limited to studying a single physical model.

Digital and AR modeling is growing as an alternative to physical models. CardiacAR is one such tool the group has already created. 

However, digital platforms lack multi-user features essential for surgical teams to collaborate during planning. ARCollab’s multi-user workspace progresses the technology’s potential as a mass replacement for physical modeling.

“Over the past year and a half, we have been working on incorporating collaboration into our prior work with CardiacAR,” Mehta said. 

“This involved completely changing the codebase, rebuilding the entire app and its features from the ground up in a newer AR framework that was better suited for collaboration and future development.”

Its interactive and visualization features, along with its novelty and innovation, led the Conference on Human Factors in Computing Systems (CHI 2024) to accept ARCollab for presentation. The conference occurs May 11-16 in Honolulu.

CHI is considered the most prestigious conference for human-computer interaction and one of the top-ranked conferences in computer science.

M.S. student Harsha Karanth and alumnus Alex Yang (CS 2022, M.S. CS 2023) co-authored the paper with Mehta. They study under Polo Chau, an associate professor in the School of Computational Science and Engineering.

The Georgia Tech group partnered with Timothy Slesnick and Fawwaz Shaw from CHOA on ARCollab’s development.

“Working with the doctors and having them test out versions of our application and give us feedback has been the most important part of the collaboration with CHOA,” Mehta said. 

“These medical professionals are experts in their field. We want to make sure to have features that they want and need, and that would make their job easier.”

Thanks to a Georgia Tech researcher's new tool, application developers can now see potential harmful attributes in their prototypes.

Farsight is a tool designed for developers who use large language models (LLMs) to create applications powered by artificial intelligence (AI). Farsight alerts prototypers when they write LLM prompts that could be harmful and misused.

Downstream users can expect to benefit from better quality and safer products made with Farsight’s assistance. The tool’s lasting impact, though, is that it fosters responsible AI awareness by coaching developers on the proper use of LLMs.

Machine Learning Ph.D. candidate Zijie (Jay) Wang is Farsight’s lead architect. He will present the paper at the upcoming Conference on Human Factors in Computing Systems (CHI 2024). Farsight ranked in the top 5% of papers accepted to CHI 2024, earning it an honorable mention for the conference’s best paper award.

“LLMs have empowered millions of people with diverse backgrounds, including writers, doctors, and educators, to build and prototype powerful AI apps through prompting. However, many of these AI prototypers don’t have training in computer science, let alone responsible AI practices,” said Wang.

“With a growing number of AI incidents related to LLMs, it is critical to make developers aware of the potential harms associated with their AI applications.”

Wang referenced an example when two lawyers used ChatGPT to write a legal brief. A U.S. judge sanctioned the lawyers because their submitted brief contained six fictitious case citations that the LLM fabricated.

With Farsight, the group aims to improve developers’ awareness of responsible AI use. It achieves this by highlighting potential use cases, affected stakeholders, and possible harm associated with an application in the early prototyping stage. 

A user study involving 42 prototypers showed that developers could better identify potential harms associated with their prompts after using Farsight. The users also found the tool more helpful and usable than existing resources. 

Feedback from the study showed Farsight encouraged developers to focus on end-users and think beyond immediate harmful outcomes.

“While resources, like workshops and online videos, exist to help AI prototypers, they are often seen as tedious, and most people lack the incentive and time to use them,” said Wang.

“Our approach was to consolidate and display responsible AI resources in the same space where AI prototypers write prompts. In addition, we leverage AI to highlight relevant real-life incidents and guide users to potential harms based on their prompts.”

Farsight employs an in-situ user interface to show developers the potential negative consequences of their applications during prototyping. 

Alert symbols for “neutral,” “caution,” and “warning” notify users when prompts require more attention. When a user clicks the alert symbol, an awareness sidebar expands from one side of the screen. 

The sidebar shows an incident panel with actual news headlines from incidents relevant to the harmful prompt. The sidebar also has a use-case panel that helps developers imagine how different groups of people can use their applications in varying contexts.

Another key feature is the harm envisioner. This functionality takes a user’s prompt as input and assists them in envisioning potential harmful outcomes. The prompt branches into an interactive node tree that lists use cases, stakeholders, and harms, like “societal harm,” “allocative harm,” “interpersonal harm,” and more.

The novel design and insightful findings from the user study resulted in Farsight’s acceptance for presentation at CHI 2024.

CHI is considered the most prestigious conference for human-computer interaction and one of the top-ranked conferences in computer science.

CHI is affiliated with the Association for Computing Machinery. The conference takes place May 11-16 in Honolulu.

Wang worked on Farsight in Summer 2023 while interning at Google + AI Research group (PAIR).

Farsight’s co-authors from Google PAIR include Chinmay Kulkarni, Lauren Wilcox, Michael Terry, and Michael Madaio. The group possesses closer ties to Georgia Tech than just through Wang.

Terry, the current co-leader of Google PAIR, earned his Ph.D. in human-computer interaction from Georgia Tech in 2005. Madaio graduated from Tech in 2015 with a M.S. in digital media. Wilcox was a full-time faculty member in the School of Interactive Computing from 2013 to 2021 and serves in an adjunct capacity today.

Though not an author, one of Wang’s influences is his advisor, Polo Chau. Chau is an associate professor in the School of Computational Science and Engineering. His group specializes in data science, human-centered AI, and visualization research for social good.  

“I think what makes Farsight interesting is its unique in-workflow and human-AI collaborative approach,” said Wang. 

“Furthermore, Farsight leverages LLMs to expand prototypers’ creativity and brainstorm a wide range of use cases, stakeholders, and potential harms.”

When Amy Bonecutter-Leonard was a second-semester undergraduate at the Georgia Institute of Technology, she applied for a work-study job in the cleanroom at the Microelectronics Research Center (MiRC). There, she learned process techniques for making the same type of electronic chips used in cellphones.  

With this new knowledge, she could train and help other students with their research. At the time, Bonecutter-Leonard was a chemical engineering major with no plans to go into microelectronics. Working in the cleanroom changed that. 

“I fell in love with microelectronics through exposure to the research and development work performed in the cleanroom,” she said.  

What started as a student job led to her taking microelectronics classes — and eventually to a career in the field. “My work-study prepared me with hands-on technical skills I would have never learned from just being in a classroom,” she said. Now, Bonecutter-Leonard works as a microelectronics business chief engineer at defense contractor L3Harris Technologies.  

Her story is one of many from the Institute for Electronics and Nanotechnology (IEN, the successor to MiRC), which has been training students from kindergarten to graduate school to be leaders in the microelectronics and nanotechnology space. The goal of IEN’s outreach is to make nanotechnology and microelectronics — such as computer chips and sensors — as accessible as any other science. Ultimately, these efforts will build up the U.S. workforce in the field, ensuring the country remains at the forefront of the technology that powers Americans’ everyday lives. 
 

Building the Workforce 

Bolstering the number of workers in the microelectronics industry is imperative to keep the U.S. globally competitive. Right now, 40% of the industry's labor force is older than 50, with practitioners aging out of their careers at a pace new talent cannot match. Additionally, heavy educational barriers to entry, including required degrees and specialized training, prevent more people from pursuing careers in the field. Without dedicated efforts, the entire sector — and the nation — will fall behind.  

IEN is working to solve this pipeline problem.  

“With the national semiconductor workforce aging, it is important now more than ever that we educate the next generation to move into these jobs,” said Michael Filler, IEN’s interim executive director. “IEN is proud to support the semiconductor industry by providing students with the interdisciplinary skills and hands-on technical training essential for success in this fast-paced, global field.”  

Georgia Tech is uniquely positioned to lead this charge with its 28,500 square feet of academic cleanroom space, the largest in the Southeast and among the largest in the U.S. From micro-electro-mechanical systems to electronics fabrication, workers have 100 bays in which to conduct leading-edge research. These cleanrooms are also key teaching and training facilities. 

IEN invites anyone from around the world, whether affiliated with the Institute or not, to become a core user of the cleanroom facilities. The center also regularly hosts short courses for external partners — academic, industry, and government — in microfabrication and soft lithography for microfluidics. Over the past three years, more than 700 people went through new-user orientation, and 193 enrolled in the short courses. 

Teaching the Next Generation 

Making nanotechnology — of which microelectronics is an example — educationally accessible begins before college. Each semester, more than 800 K-12 students participate in IEN’s Introduction to Nanotechnology virtual lesson. Associate Director for Education and Outreach Mikkel Thomas begins his presentations by asking a simple question: What do you know about nanotechnology? 
 
“About 99% of the time, they say that’s what makes Ironman’s suit work,” said Thomas. “That means they’ve learned the wrong lesson — that nanotechnology is a futuristic tech and that you have to be as smart as Tony Stark to work in the field.  
 
“But most people interact with nanotechnology multiple times throughout their day, and they have no idea they're doing it.” 
 
Thomas also emphasizes there is a career path for everyone, even if they don’t plan to get a traditional four-year degree. Part of IEN’s workforce development initiative is to build up the entire pipeline from industry and research lab technicians at the certificate level to postdoctoral researchers. 
 
“It’s important for us to reach kids who don’t know what career options are available in nanotechnology,” Thomas said. “We want them to know that whatever they're interested in, there is a pathway for them.” 
 
Sixth- through eighth-grade students sparked by this conversation can attend Chip Camp, a three-day STEM summer camp sponsored by Micron. They begin with a day at IEN to learn about thin films, magic sands, ferrofluids, and measuring their height in nanometers. The rest of the camp features hands-on visits to the Materials Characterization Facility (MCF) and the IEN cleanroom, where they can try on the white “bunny suits” technicians wear in the lab. 
 
To further their reach, IEN’s workforce development team collaborates with teachers to bring nanotechnology into classrooms. During the summer, IEN offers the Research Experience for Teachers, a training program for public school and community college teachers to conduct nanotechnology research and learn how to incorporate it into their lessons. Middle school teachers have similar opportunities through the Nanoscience Summer Institute for Middle School Teachers.

Training the Workforce 

When these students get to a university like Georgia Tech, IEN hires them for work-study jobs like the one Bonecutter-Leonard had. The hands-on cleanroom training is also vital to graduate students pursuing advanced degrees. 
 
Katie Young earned her Ph.D. in materials science and engineering at Georgia Tech. Learning her way around the IEN cleanroom was essential for her graduate studies. 
 
“My dissertation research involved synthesizing two-dimensional materials — only a single atom thick — for permeation barriers,” she explained. “I often used the cleanroom’s vacuum systems to synthesize and process 2D materials.” Now a research scientist at the Georgia Tech Research Institute, Young still works in the cleanroom on semiconductor device fabrication, building prototype quantum and biological sensors. 
 
IEN opportunities are not limited to graduate research. Annually, about 150 Georgia Tech undergraduate students take microelectronics packaging and devices classes, with labs taught by IEN staff in the teaching cleanroom. These courses include Integrated Circuit Fabrication (ECE 4452), in which students learn to fabricate circuit elements, and the Science and Engineering of Microelectronic Fabrication (ChBE 4050/6050, open to graduate students as well), for students interested in semiconductor materials and fabrication. 

Students don’t need to enroll at Georgia Tech to benefit from training, courses, and other opportunities. IEN’s internship program provides technical college students with training to become microelectronics technicians, either through work in the Biocleanroom or in the MCF.

Empowering Future Innovators 

IEN also participates in the National Science Foundation Research Experiences for Undergraduates (REU), which provides opportunities for students from underrepresented groups or who attend schools without similar facilities. While enrolled at another university, John Mark Page was introduced to Georgia Tech’s cleanroom through an REU.  
 
“That was my first exposure to any facility of this kind, and it felt like I was looking at the future. Being in a facility that can fabricate devices at or near the atomic level — it was hard to fathom,” Page said. “I had never thought that participating in microelectronics and nanotechnology as a student, especially as an undergraduate, was something I could do.” 

As a result of his REU, Page transferred to Georgia Tech — he will graduate this summer with a bachelor’s degree in electrical engineering. He also completed a second REU at the University of North Carolina at Chapel Hill, worked as a student assistant in the IEN cleanroom, and participated in a Vertically Integrated Project (VIP), Chip Scale Power and Energy. 
 
“I was interested in the VIP because it allowed me to spend more time in the cleanroom, familiarizing myself with semiconductor fabrication methods and training on new fabrication equipment,” Page explained. His experiences inspired him to consider a future career in the semiconductor industry. 

“It wasn’t only the 10-week experience of the REU that made a lasting impact on me,” he said. “It was also the relationships formed with the people of IEN. The staff there are exceptional representatives of Georgia Tech, and they make IEN a tremendous asset to the future of microelectronics and nanotechnology in the U.S.” 

Biya Haile, an ECE Ph.D. student, had a similarly meaningful REU experience. Haile, whose research focuses on creating micro-electro-mechanical systems-based sensors (MEMS), described the REU as “immersive.” 

“The REU project enabled me to study chemical micro-sensor technologies, as well as state-of-the-art additive nano-manufacturing techniques, which has contributed to my research,” he said. “I feel lucky that my academic journey has entailed developing new technologies that use nanoscience to solve big problems.”  

While Haile is currently focused more on designing and testing rapid processes for fabricating MEMS-based devices, he still occasionally works in the cleanroom on fabrication. He plans to go into the microelectronics industry after graduating. 

The Path Ahead 

All of IEN’s training and educational offerings align with IEN’s mission to bolster and diversify the microelectronics workforce, according to George White, senior director of strategic partnerships for the Georgia Tech research enterprise. “IEN has been at the forefront of the CHIPS infrastructure buildout, particularly in the area of education and workforce development,” he noted.   

IEN’s efforts impact not just Atlanta but the entire country. Georgia Tech’s leadership in microelectronics research trains the innovators and practitioners of the future everywhere and ensures that America stays at the forefront of leading-edge technology. As demand increases for microelectronics, IEN is moving to meet it. 

Effective July 1, 2024, the Institute for Electronics and Nanotechnology and the Institute for Materials will evolve into the Institute for Matter and Systems (IMS). This strategic union aims to foster convergent research at Georgia Tech, focusing on the science, technology, and societal underpinnings of cutting-edge materials and devices. Eric Vogel will be the director of IMS, and Michael Filler will be the deputy director. 

Quantum sensors detect the smallest of environmental changes — for example, an atom reacting to a magnetic field. As these sensors “read” the unique behaviors of subatomic particles, they also dramatically improve scientists’ ability to measure and detect changes in our wider environment.

Monitoring these tiny changes results in a wide range of applications — from improving navigation and natural disaster forecasting, to smarter medical imaging and detection of biomarkers of disease, gravitational wave detection, and even better quantum communication for secure data sharing.

Georgia Tech physicists are pioneering new quantum sensing platforms to aid in these efforts. The research team’s latest study, “Sensing Spin Wave Excitations by Spin Defects in Few-Layer Thick Hexagonal Boron Nitride” was published in Science Advances this week. 

The research team includes School of Physics Assistant Professors Chunhui (Rita) Du and Hailong Wang (corresponding authors) alongside fellow Georgia Tech researchers Jingcheng Zhou, Mengqi Huang, Faris Al-matouq, Jiu Chang, Dziga Djugba, and Professor Zhigang Jiang and their collaborators. 

An ultra-sensitive platform

The new research investigates quantum sensing by leveraging color centers — small defects within crystals (Du’s team uses diamonds and other 2D layered materials) that allow light to be absorbed and emitted, which also give the crystal unique electronic properties. 

By embedding these color centers into a material called hexagonal boron nitride (hBN), the team hoped to create an extremely sensitive quantum sensor — a new resource for developing next-generation, transformative sensing devices. 

For its part, hBN is particularly attractive for quantum sensing and computing because it could contain defects that can be manipulated with light — also known as "optically active spin qubits."

The quantum spin defects in hBN are also very magnetically sensitive, and allow scientists to “see” or “sense” in more detail than other conventional techniques. In addition, the sheet-like structure of hBN is compatible with ultra-sensitive tools like nanodevices, making it a particularly intriguing resource for investigation.

The team’s research has resulted in a critical breakthrough in sensing spin waves, Du says, explaining that “in this study, we were able to detect spin excitations that were simply unattainable in previous studies.” 

Detecting spin waves is a fundamental component of quantum sensing, because these phenomena can travel for long distances, making them an ideal candidate for energy-efficient information control, communication, and processing.

The future of quantum

“For the first time, we experimentally demonstrated two-dimensional van der Waals quantum sensing — using few-layer thick hBN in a real-world environment,” Du explains, underscoring the potential the material holds for precise quantum sensing. “Further research could make it possible to sense electromagnetic features at the atomic scale using color centers in thin layers of hBN.”

Du also emphasizes the collaborative nature of the research, highlighting the diverse skill sets and resources of researchers within Georgia Tech. 

“Within the School of Physics, Professor Zhigang Jiang's research group provided the team with high-quality hBN crystals. Jingcheng Zhou, who is a member of both Professor Hailong Wang’s and my research teams, performed the cutting-edge quantum sensing measurements,” she says. “Many incredible students also helped with this project.”

Du is a leading scientist in the field of quantum sensing — this year, she received a new grant from the U.S. Department of Energy, along with a Sloan Research Fellowship for her pioneering work on developing state-of-the-art quantum sensing techniques for quantum information technology applications. The prestigious Sloan award recognizes researchers whose “creativity, innovation, and research accomplishments make them stand out as the next-generation of leaders in the fields.” 

DOI: 10.1126/sciadv.adk8495

This work is supported by the U. S. National Science Foundation (NSF) under award No. DMR-2342569, the Air Force Office of Scientific Research under award No. FA9550-20-1-0319 and its Young Investigator Program under award No. FA9550-21-1-0125, the Office of Naval Research (ONR) under grant No. N00014-23-1-2146, NASA-REVEALS SSERVI (CAN No. NNA17BF68A), and NASA-CLEVER SSERVI (CAN No. 80NSSC23M0229).

Georgia Tech’s AI Hub will be directed by Pascal Van Hentenryck, announced Chaouki Abdallah, executive vice president for Research. Van Hentenryck, A. Russell Chandler III Chair and professor in the H. Milton Stewart School of Industrial and Systems Engineering, also directs the NSF Artificial Intelligence Institute for Advances in Optimization (AI4OPT). 

Georgia Tech has been actively engaged in artificial intelligence (AI) research and education for decades. Formed in 2023, the AI Hub is a thriving network, bringing together over 1000 faculty and students who work on fundamental and applied AI-related research across the entire Institute.  

“Pascal Van Hentenryck will drive innovation and excellence at the helm of Georgia Tech’s AI Hub,” said Abdallah. “His leadership of one of our three AI institutes has already shown his dedication to fostering impactful partnerships and cultivating a dynamic ecosystem for AI progress at Georgia Tech and beyond.” 

The AI Hub aims to advance AI through discovery, interdisciplinary research, responsible deployment, and education to build the next generation of the AI workforce, as well as a sustainable future. Thanks to Tech’s applied, solutions-focused approach, the AI Hub is well-positioned to provide decision makers and stakeholders with access to world-class resources for commercializing and deploying AI. 

“A fundamental question people are asking about AI now is, ‘Can we trust it?’” said Van Hentenryck. “As such, the AI Hub’s focus will be on developing trustworthy AI for social impact — in science, engineering, and education.” 

U.S. News & World Report has ranked Georgia Tech among the five best universities with artificial intelligence programs. Van Hentenryck intends for the AI Hub to leverage the Institute’s strategic advantage in AI engineering to create powerful collaborations. These could include partnerships with the Georgia Tech Research Institute, for maximizing societal impact, and Tech’s 10 interdisciplinary research centers as well as its three NSF-funded AI institutes, for augmenting academic and policy impact.  

“The AI Hub will empower all AI-related activities, from foundational research to applied AI projects, joint AI labs, AI incubators, and AI workforce development; it will also help shape AI policies and improve understanding of the social implications of AI technologies,” Van Hentenryck explained. “A key aspect will be to scale many of AI4OPT’s initiatives to Georgia Tech’s AI ecosystem more generally — in particular, its industrial partner and workforce development programs, in order to magnify societal impact and democratize access to AI and the AI workforce.” 

Van Hentenryck is also thinking about AI’s technological implications. “AI is a unifying technology — it brings together computing, engineering, and the social sciences. Keeping humans at the center of AI applications and ensuring that AI systems are trustworthy and ethical by design is critical,” he added. 

In its first year, the AI Hub will focus on building an agile and nimble organization to accomplish the following goals: 

• facilitate, promote, and nurture use-inspired research and innovative industrial partnerships;  

• translate AI research into impact through AI engineering and entrepreneurship programs; and 

• develop sustainable AI workforce development programs.  

Additionally, the AI Hub will support new events, including AI-Tech Fest, a fall kickoff for the center. This event will bring together Georgia Tech faculty, as well as external and potential partners, to discuss recent AI developments and the opportunities and challenges this rapidly proliferating technology presents, and to build a nexus of collaboration and innovation.  

Effective July 1, Eric Vogel will become the executive director of the Institute for Matter and Systems (IMS), Georgia Tech’s newest Interdisciplinary Research Institute (IRI) that will launch on the same date.

As an evolution of the Institute for Materials (IMat) and the Institute for Electronics and Nanotechnology (IEN), IMS aims to enable convergent research at Georgia Tech related to the science, technology, and societal underpinnings of innovative materials and devices. Additionally, IMS seeks to integrate these innovations into systems that enhance human well-being and performance across information and communication, the built environment, and human-centric technologies that improve human health, wellness, and performance.

“Executive Vice President for Research Chaouki Abdallah and I are very excited about the launch of IMS, which positions Georgia Tech for integration of science and technology from atoms to devices, while explicitly drawing in researchers in the social sciences, design, business, and computing,” said Vice President of Interdisciplinary Research Julia Kubanek.

“IMS will ensure relevance across Georgia Tech through its newly configured Internal Advisor and Ambassador Board with representation across all six Colleges and GTRI,” she said. “Additional advisory committees representing IMS employees and facility users will ensure that we don’t sacrifice any of the research excellence for which IEN and IMat are known. With IMS I expect we will be even better positioned to tackle research problems that will have the greatest positive societal impact.”

Vogel will continue in his current position as the executive director of IMat until the launch of IMS. In addition to leading and growing IMat, Vogel is the Hightower Professor of Materials Science and Engineering at Georgia Tech’s School of Materials Science and Engineering, and he served as the IEN deputy director prior to leading IMat.

“It is an honor to be appointed executive director of the Institute for Matter and Systems, and I look forward to collaborating with the talented faculty and staff associated with it,” said Vogel. “This opportunity allows us to leverage the core competencies of IEN and IMat while extending our capabilities beyond nanotechnology and materials science. Together, we will be a hub for interdisciplinary research ranging from advanced materials to complex systems that solve global challenges.”

Georgia Tech’s IRIs facilitate collaboration between researchers and students from its six Colleges, the Georgia Tech Research Institute, national laboratories, and corporate entities to tackle critical topics of strategic significance for the Institute as well as for local, state, national, and international communities. IMS will also house and maintain the state-of-the-art Materials Characterization Facility and one of the largest academic cleanrooms in the nation, which offers a broad range of fabrication capabilities from basic discovery to prototype realization.

Before joining Georgia Tech in 2011, Vogel was an associate professor of materials science and engineering and electrical engineering at the University of Texas at Dallas. During this time, he also served as the associate director of the Texas Analog Center of Excellence and led UT Dallas’s involvement in the Southwest Academy for Nanoelectronics.

Prior to UT Dallas, he led the CMOS and Novel Devices Group and established the Nanofabrication Facility at the National Institute of Standards and Technology. Vogel holds a Ph.D. in electrical engineering from North Carolina State University and a B.S. in electrical engineering from the Pennsylvania State University. His research focuses on the development and fundamental understanding of electronic and nanomaterials and devices.

When U.S. Rep. Earl L. “Buddy” Carter from Georgia’s 1st District visited Atlanta recently, one of his top priorities was meeting with the experts at Georgia Tech’s 20,000-square-foot Advanced Manufacturing Pilot Facility (AMPF).

Carter was recently named the House Energy and Commerce Committee’s chair of the Environment, Manufacturing, and Critical Materials Subcommittee, a group that concerns itself primarily with contamination of soil, air, noise, and water, as well as emergency environmental response, whether physical or cybersecurity.

Because AMPF’s focus dovetails with subcommittee interests, the facility was a fitting stop for Carter, who was welcomed for an afternoon tour and series of live demonstrations. Programs within Georgia Tech’s Enterprise Innovation Institute — specifically the Georgia Artificial Intelligence in Manufacturing (Georgia AIM) and Georgia Manufacturing Extension Partnership (GaMEP) — were well represented.

“Innovation is extremely important,” Carter said during his April 1 visit. “In order to handle some of our problems, we’ve got to have adaptation, mitigation, and innovation. I’ve always said that the greatest innovators, the greatest scientists in the world, are right here in the United States. I’m so proud of Georgia Tech and what they do for our state and for our nation.”

Carter’s AMPF visit began with an introduction by Thomas Kurfess, Regents' Professor and HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control in the George W. Woodruff School of Mechanical Engineering and executive director of the Georgia Tech Manufacturing Institute; Steven Ferguson, principal research scientist and managing director at Georgia AIM; research engineer Kyle Saleeby; and Donna Ennis, the Enterprise Innovation Institute’s director of community engagement and program development, and co-director of Georgia AIM.

Ennis provided an overview of Georgia AIM, while Ferguson spoke on the Manufacturing 4.0 Consortium and Kurfess detailed the AMPF origin story, before introducing four live demonstrations.

The first of these featured Chuck Easley, Professor of the Practice in the Scheller College of Business, who elaborated on supply chain issues. Afterward, Alan Burl of EPICS: Enhanced Preparation for Intelligent Cybermanufacturing Systems and mechanical engineer Melissa Foley led a brief information session on hybrid turbine blade repair.

Finally, GaMEP project manager Michael Barker expounded on GaMEP’s cybersecurity services, and Deryk Stoops of Central Georgia Technical College detailed the Georgia AIM-sponsored AI robotics training program at the Georgia Veterans Education Career Transition Resource (VECTR) Center, which offers training and assistance to those making the transition from military to civilian life.

The topic of artificial intelligence, in all its subtlety and nuance, was of particular interest to Carter.

“AI is the buzz in Washington, D.C.,” he said. “Whether it be healthcare, energy, [or] science, we on the Energy and Commerce Committee look at it from a sense [that there’s] a very delicate balance, and we understand the responsibility. But we want to try to benefit from this as much as we can.”

“I heard something today I haven’t heard before," Carter continued, "and that is instead of calling it artificial intelligence, we refer to it as ‘augmented intelligence.’ I think that’s a great term, and certainly something I’m going to take back to Washington with me.”

“It was a pleasure to host Rep. Carter for a firsthand look at AMPF," shared Ennis, "which is uniquely positioned to offer businesses the opportunity to collaborate with Georgia Tech researchers and students and to hear about Georgia AIM.

“At Georgia AIM, we’re committed to making the state a leader in artificial intelligence-assisted manufacturing, and we’re grateful for Congressman Carter’s interest and support of our efforts."

Computing research at Georgia Tech is getting faster thanks to a new state-of-the-art processing chip named after a female computer programming pioneer.

Tech is one of the first research universities in the country to receive the GH200 Grace Hopper Superchip from NVIDIA for testing, study, and research.

Designed for large-scale artificial intelligence (AI) and high-performance computing applications, the GH200 is intended for large language model (LLM) training, recommender systems, graph neural networks, and other tasks. 

Alexey Tumanov and Tushar Krishna procured Georgia Tech’s first pair of Grace Hopper chips. Spencer Bryngelson attained four more GH200s, which will arrive later this month.

“We are excited about this new design that puts everything onto one chip and accessible to both processors,” said Will Powell, a College of Computing research technologist.

“The Superchip’s design increases computation efficiency where data doesn’t have to move as much and all the memory is on the chip.” 

A key feature of the new processing chip is that the central processing unit (CPU) and graphics processing unit (GPU) are on the same board.

NVIDIA’s NVLink Chip-2-Chip (C2C) interconnect joins the two units together. C2C delivers up to 900 gigabytes per second of total bandwidth, seven times faster than PCIe Gen5 connections used in newer accelerated systems.  

As a result, the two components share memory and process data with more speed and better power efficiency. This feature is one that the Georgia Tech researchers want to explore most.

Tumanov, an assistant professor in the School of Computer Science, and his Ph.D. student Amey Agrawal, are testing machine learning (ML) and LLM workloads on the chip. Their work with the GH200 could lead to more sustainable computing methods that keep up with the exponential growth of LLMs.

The advent of household LLMs, like ChatGPT and Gemini, pushes the limit of current architectures based on GPUs. The chip’s design overcomes known CPU-GPU bandwidth limitations. Tumanov’s group will put that design to the test through their studies. 

Krishna is an associate professor in the School of Electrical and Computer Engineering and associate director of the Center for Research into Novel Computing Hierarchies (CRNCH).

His research focuses on optimizing data movement in modern computing platforms, including AI/ML accelerator systems. Ph.D. student Hao Kang uses the GH200 to analyze LLMs exceeding 30 billion parameters. This study will enable labs to explore deep learning optimizations with the new chip.  

Bryngelson, an assistant professor in the School of Computational Science and Engineering, will use the chip to compute and simulate fluid and solid mechanics phenomena. His lab can use the CPU to reorder memory and perform disk writes while the GPU does parallel work. This capability is expected to significantly reduce the computational burden for some applications.

“Traditional CPU to GPU communication is slower and introduces latency issues because data passes back and forth over a PCIe bus,” Powell said. “Since they can access each other’s memory and share in one hop, the Superchip’s architecture boosts speed and efficiency.” 

Grace Hopper is the inspirational namesake for the chip. She pioneered many developments in computer science that formed the foundation of the field today.  

Hopper invented the first compiler, a program that translates computer source code into a target language. She also wrote the earliest programming languages, including COBOL, which is still used today in data processing. 

Hopper joined the U.S. Navy Reserve during World War II, tasked with programming the Mark I computer. She retired as a rear admiral in August 1986 after 42 years of military service.

Georgia Tech researchers hope to preserve Hopper’s legacy using the technology that bears her name and spirit for innovation to make new discoveries.

“NVIDIA and other vendors show no sign of slowing down refinement of this kind of design, so it is important that our students understand how to get the most out of this architecture,” said Powell. 

“Just having all these technologies isn’t enough. People must know how to build applications in their coding that actually benefit from these new architectures. That is the skill.”